Hybrid Senior Data Scientist

at Jellyfish

• Job title: Senior Data Scientist
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Python, SQL, Tableau
• Location requirements: Hybrid, Mexico City, Mexico

About the role

• Data Scientist designing and delivering measurement and predictive analytics solutions at Jellyfish. Transforming data into insights to enhance client performance and decision-making.

Responsibilities

• Analyse large and complex datasets to uncover trends, diagnose performance issues, and generate actionable recommendations.
• Apply and explain data science methodologies such as Geo-based experiments, Media Mix Models, Causal Impact Studies, Incrementality testing, and other robust statistical approaches.
• Develop and implement predictive and causal models that improve media performance, customer experiences, and revenue outcomes.
• Work with internal partners and external platforms to advance our capabilities in incrementality testing, media modelling, and privacy-safe measurement techniques.
• Build reproducible analytical workflows, document processes clearly, and create repeatable frameworks that scale across clients and markets.
• Translate model outputs into compelling narratives through visualizations, dashboards, and structured readouts.
• Collaborate closely with Cloud Engineers, Analysts, and Martech specialists to ensure solutions integrate effectively into client ecosystems.

Requirements

• 5+ years of experience in data science, analytics, or a quantitative discipline.
• Strong proficiency in Python and SQL.
• Experience with data visualization tools such as Looker, Tableau, Matplotlib, or similar.
• Understanding of the digital marketing ecosystem, including paid media channels, web/app analytics, and measurement frameworks.
• Experience working with datasets from tools such as Google Analytics, Campaign Manager, Amazon Marketing Cloud, ADH, Meta, or equivalents.
• Familiarity with MMM, incrementality testing, attribution models, or causal inference techniques.
• Curiosity and initiative, you look for ways to improve, automate, and scale analytical work.
• Strong communication and collaboration skills, with the ability to explain complex methods to non-technical stakeholders.
• Exposure to machine learning concepts (hands-on experience is a plus).

Benefits

• Savings fund: You'll save 5% of your monthly income and Jellyfish will contribute the same amount you save to your savings fund.
• Custom Work Environment: Work remotely for up to 60% of your days and shape your day between 8am. and 6:30pm with flexible working hours.
• Growth, Your Way: Accumulate one paid day each month (2 hours per week) for self-development and access to Jellyfish Learn.
• Health Insurance: We provide a private health insurance policy that includes visual and dental plan coverage.